Unix, Orchestration, Hadoop, Pyspark, Docker, Oozie, Python, Evaluation, Airflow, K8S, Feature Store, ML lifecycle tools, Spark-ml, Big Data modeling, ML Models Lifecycle Frameworks, Distributed processing, MlFlow, Dagster, Lake Warehouse architectures, model monitoring

Nlp, Unsupervised Learning, Sql, Python, Model lifecycle management, supervised learning, AI ML techniques, Risk Scorecard, Optimization, Propensity models

Tensorflow, Numpy, Pandas, Pytorch, Python, Statistical Analysis, R, Scikit-learn

data engineering , Distributed Systems, Big Data, Deep Learning, Constraint optimization, graph algorithms, Statistical ML techniques, Signal Processing

theano , Sql, Java, Deep Learning, Tensorflow, Pyspark, Machine Learning, Data Science, Shell Scripting, Spark SQL, Python, Nlp, Scala, MLOps Tools, GraphDBs, Data Mining Techniques, NoSQL Databases, Go, Time Series Forecasting, Caffe, Torch, Recommendation Engines

causal inference , Tensorflow, Numpy, Deep Learning, Pandas, AWS, Pytorch, Python, Azure, Gcp, MLOps tools, GenAI, Scikit-learn, probabilistic forecasting, cloud platforms, Gradient boosting, Bayesian Methods, Statistical Modeling, time-series forecasting

Nlp, Gcp, Spark, Python, Sql, Deep Learning, GenAI, Agentic AI, LLMs, RAG, Transformers

Hypothesis Testing, Pyspark, Sql, Nlp, Pandas, Databricks, Python, GenAI, optimisation methods, scikit-learn, sensitivity analysis, MLflow, cross-validation, causal inference techniques, model validation, Experimental Design, back testing

Deep Learning, Tensorflow, Machine Learning, Scala, Pyspark, Spark, Keras, Python, GenAI, scikit-learn, MLlib